Alzheimer's disease (AD) is characterized by non-linear, genetic-driven pathophysiological dynamics with high heterogeneity in biological alterations and disease spatial-temporal progression. Human in-vivo and post-mortem studies point out a failure of multi-level biological networks underlying AD pathophysiology, including proteostasis (amyloid-beta and tau), synaptic homeostasis, inflammatory and immune responses, lipid and energy metabolism, oxidative stress. Therefore, a holistic, systems-level approach is needed to fully capture AD multifaceted pathophysiology. Omics sciences - genomics, epigenomics, transcriptomics, proteomics, metabolomics, lipidomics - embedded in the systems biology (SB) theoretical and computational framework can generate explainable readouts describing the entire biological continuum of a disease. Such path in Neurology is encouraged by the promising results of omics sciences and SB approaches in Oncology, where stage-driven pathway-based therapies have been developed in line with the precision medicine paradigm. Multi-omics data integrated in SB network approaches will help detect and chart AD upstream pathomechanistic alterations and downstream molecular effects occurring in preclinical stages. Finally, integrating omics and neuroimaging data - i.e., neuroimaging-omics - will identify multi-dimensional biological signatures essential to track the clinical-biological trajectories, at the subpopulation or even individual level.

Hampel, H., Nistico', R., Seyfried, N.t., Levey, A.i., Modeste, E., Lemercier, P., et al. (2021). Omics sciences for systems biology in Alzheimer's disease: State-of-the-art of the evidence. AGEING RESEARCH REVIEWS, 69, 101346 [10.1016/j.arr.2021.101346].

Omics sciences for systems biology in Alzheimer's disease: State-of-the-art of the evidence

Nistico' R;Toschi, Nicola;Garaci, Francesco;Urbani, Andrea;
2021-08-01

Abstract

Alzheimer's disease (AD) is characterized by non-linear, genetic-driven pathophysiological dynamics with high heterogeneity in biological alterations and disease spatial-temporal progression. Human in-vivo and post-mortem studies point out a failure of multi-level biological networks underlying AD pathophysiology, including proteostasis (amyloid-beta and tau), synaptic homeostasis, inflammatory and immune responses, lipid and energy metabolism, oxidative stress. Therefore, a holistic, systems-level approach is needed to fully capture AD multifaceted pathophysiology. Omics sciences - genomics, epigenomics, transcriptomics, proteomics, metabolomics, lipidomics - embedded in the systems biology (SB) theoretical and computational framework can generate explainable readouts describing the entire biological continuum of a disease. Such path in Neurology is encouraged by the promising results of omics sciences and SB approaches in Oncology, where stage-driven pathway-based therapies have been developed in line with the precision medicine paradigm. Multi-omics data integrated in SB network approaches will help detect and chart AD upstream pathomechanistic alterations and downstream molecular effects occurring in preclinical stages. Finally, integrating omics and neuroimaging data - i.e., neuroimaging-omics - will identify multi-dimensional biological signatures essential to track the clinical-biological trajectories, at the subpopulation or even individual level.
ago-2021
Pubblicato
Rilevanza internazionale
Recensione
Esperti anonimi
Settore BIO/14 - FARMACOLOGIA
English
Alzheimer’s disease
Biomarker signatures
Multiple omics
Pathophysiology
Precision medicine
Systems biology
Hampel, H., Nistico', R., Seyfried, N.t., Levey, A.i., Modeste, E., Lemercier, P., et al. (2021). Omics sciences for systems biology in Alzheimer's disease: State-of-the-art of the evidence. AGEING RESEARCH REVIEWS, 69, 101346 [10.1016/j.arr.2021.101346].
Hampel, H; Nistico', R; Seyfried, Nt; Levey, Ai; Modeste, E; Lemercier, P; Baldacci, F; Toschi, N; Garaci, F; Perry, G; Emanuele, E; Valenzuela, Pl; L...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/325544
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